Consultant-Cyber

Language:

English

Certifications:
  • Relevant AI Developer Certification demonstrating hands-on expertise in building, deploying, and maintaining AI/ML solutions. Preferred certifications include:
    • Microsoft Certified: Azure AI Engineer Associate
    • Google Cloud Professional Machine Learning Engineer
    • AWS Certified Machine Learning – Specialty
    • IBM AI Engineering Professional Certificate
    • TensorFlow Developer Certificate
    • Certified Artificial Intelligence Practitioner (CAIP – CertNexus)
  • RPA Developer Certification in platforms such as UiPath, Automation Anywhere, or Blue Prism
  • Microsoft Power Platform Developer Certification
  • Cybersecurity certifications such as ISO 27001, CISA, or CISSP are considered an advantage
Core Competencies & Technical Skills
  • Proven expertise in AI model and agent development, preferably within cybersecurity use cases
  • Advanced proficiency in Robotic Process Automation (RPA) tools such as UiPath, Automation Anywhere, and Blue Prism
  • Strong experience in developing solutions using Microsoft Power Platform, including PowerApps, Power Automate, and integration with SharePoint or Dynamics 365
  • Sound knowledge of cybersecurity fundamentals, including secure software development, data protection, and risk mitigation strategies
  • Experience in workflow automation, process mining, and custom RPA solution development
  • Proficiency in scripting and automation using Python, PowerShell, or JavaScript is an added advantage
  • Practical exposure to data engineering, dashboard creation, and data science activities
  • Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud, especially in security-related configurations and services
  • Experience with Azure Security Center or equivalent cloud-native security tools is beneficial
  • Exposure to AI/ML/LLM-based cybersecurity projects and a working knowledge of GRC and security operations processes
Soft Skills:
  • Strong analytical and problem-solving capabilities
  • Excellent collaboration and interpersonal communication skills
  • Ability to work effectively in a cross-functional, fast-paced environment
  • A proactive team player with a continuous learning mindset
Experience
  • Proven experience in developing AI models and intelligent agents, with a strong preference for implementations within cybersecurity domains.
  • Proficient in process mining and workflow automation, with the ability to identify inefficiencies and design optimized solutions.
  • Hands-on experience in RPA development, including custom automation solutions tailored to unique business needs.
  • Skilled in designing interactive dashboards and data visualizations to support real-time insights and reporting.
  • Solid background in data engineering and data science workflows, including data preparation, transformation, and modeling.
  • Adept at translating complex client requirements into well-defined technical solutions with a focus on scalability and security.
  • Demonstrated ability to automate cybersecurity processes, enhancing operational efficiency and threat response capabilities.
  • Hands-on experience with leading cloud platforms such as Microsoft Azure, AWS, and Google Cloud, with practical knowledge in managing infrastructure, storage, and cloud-native services.
  • Familiarity with cloud security tools, particularly Azure Security Center, will be preferred.
  • Exposure to projects involving Artificial Intelligence, Machine Learning, and Large Language Models (LLMs) is advantageous.
  • Good understanding of cybersecurity governance, risk, and compliance (GRC) frameworks and security operations processes.
Job Responsibilities:
  • Design, develop, and deploy AI models and intelligent agents to support cybersecurity services and threat detection
  • Develop and maintain RPA-based automation solutions using industry-standard tools (UiPath, AA, Blue Prism) to enhance operational efficiency
  • Build and customize low-code applications using Microsoft PowerApps integrated with enterprise platforms
  • Collaborate with internal stakeholders to gather business and technical requirements, translate them into automation solutions, and drive digital transformation initiatives
  • Incorporate cybersecurity best practices in the development lifecycle—ensuring secure coding, identity and access control, and encryption standards
  • Perform security risk assessments and vulnerability analyses for developed AI model (Preferred)
  • Ensure automation solutions are aligned with organizational security policies and regulatory requirements
  • Provide ongoing maintenance, troubleshooting, and enhancement of deployed automation tools and platforms
  • Maintain thorough documentation for all development, integration, and security-related activities
  • Mentor and guide junior team members on automation, Power Platform best practices, and secure development methodologies.


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